jacopotagliabue/MLSys-NYU-2022
Slides, scripts and materials for a Machine Learning in Finance course at NYU Tandon School of Engineering.
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This repository contains teaching materials from a 14-week practical introduction to machine learning with finance use cases. The course covers industry-standard tools and methodologies, with topics including fraud detection, recommender systems, and MLOps practices. Materials include Jupyter notebooks with code snippets, slides, and assignments released after course completion to benefit the broader ML community.
Frequently asked
- What is jacopotagliabue/MLSys-NYU-2022?
- Slides, scripts and materials for a Machine Learning in Finance course at NYU Tandon School of Engineering.
- Is MLSys-NYU-2022 open source?
- Yes — jacopotagliabue/MLSys-NYU-2022 is open source, released under the MIT license.
- What language is MLSys-NYU-2022 written in?
- jacopotagliabue/MLSys-NYU-2022 is primarily written in Jupyter Notebook.
- How popular is MLSys-NYU-2022?
- jacopotagliabue/MLSys-NYU-2022 has 559 stars on GitHub.
- Where can I find MLSys-NYU-2022?
- jacopotagliabue/MLSys-NYU-2022 is on GitHub at https://github.com/jacopotagliabue/MLSys-NYU-2022.